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- Tasks: Develop Python tools for power systems automation and model conversion.
- Company: Join Smartedge’s innovative team, working remotely in the UK.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth.
- Why this job: Make an impact in renewable energy while honing your Python skills in a dynamic environment.
- Qualifications: Strong Python experience and knowledge of power systems required.
- Other info: Ideal for those passionate about engineering and automation in the energy sector.
The predicted salary is between 36000 - 60000 £ per year.
Smartedge’s Client is looking for a skilled Python Developer (Consultant) with experience in power systems automation to create a tool for transforming PSS/E .raw files into Power Factory node-breaker models. The role includes:
- Parsing, data mapping, GUI/CLI development, automation of load flow simulations, and structured output generation.
- Interpreting and validating PSS/E .raw file content for accurate power system representation.
- Developing Python scripts to parse .raw files (PSS/E format) and extract BUS, LOAD, GEN, IBR, and transformer data.
- Designing and implementing conversion logic for mapping bus-branch data to node-breaker format.
- Using Power Factory Python API to automate model creation, P/Q assignment, and topology setup.
- Implementing load flow simulation automation and parsing results into structured formats (CSV/JSON).
- Developing a lightweight GUI or CLI for selecting input files, triggering conversions, and displaying logs.
- Handling error reporting, convergence failures, and terminal mismatches during simulation.
- Packaging scripts into .exe format for Windows 10/11 deployment.
- Providing detailed user and developer documentation.
Experience working as a design engineer/manager for a DNO, Developer or Renewable company in EHV systems or HV/LV systems will be given high weightage. Preparation of Technical design reports for Distribution sector (11 KV up to 132kV). Working knowledge of Transmission and distribution systems including network protection & Re-Enforcement schemes. Experience in using a power flow modelling tool such as Power Factory, IPSA, DINIS, PSSE etc. will be beneficial. Experience with Digslient Power Factory and Siemens PSS/E. Strong understanding of node-breaker vs. bus-branch topologies and substation layouts. Familiarity with validation parameters (voltage limits, thermal ratings, angle differences). Good documentation and communication skills for report writing and stakeholder engagement. Strong Python development experience in power systems or engineering domains. Proficiency with Python 3.7+ and libraries for text parsing, file handling, and interface development. Experience with Power Factory Python API and COM Automation. Understanding of PSS/E .raw file structures and associated components. Strong troubleshooting and error handling capabilities in model-based simulations. Ability to write clean, modular, and well-documented code.
Power Systems Automation Developer (Python Development) employer: Smartedge Solutions
Contact Detail:
Smartedge Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power Systems Automation Developer (Python Development)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Power Factory and PSS/E. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the power systems automation field. Attend webinars, join relevant LinkedIn groups, or participate in forums to connect with others who may have insights or referrals for this role.
✨Tip Number 3
Prepare to discuss your previous projects that involved Python development and power systems. Be ready to explain your problem-solving approach, especially regarding error handling and troubleshooting in simulations.
✨Tip Number 4
Showcase your communication skills by preparing to articulate complex technical concepts clearly. This will be crucial when discussing your experience with stakeholders or in documentation, which is highlighted as important in the job description.
We think you need these skills to ace Power Systems Automation Developer (Python Development)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python development experience, particularly in power systems automation. Include specific projects or tools you've worked on that relate to the job description, such as PSS/E or Power Factory.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and explain how your skills align with the requirements. Mention your experience with parsing .raw files and any relevant projects that demonstrate your capabilities in this area.
Showcase Relevant Experience: When detailing your work history, focus on roles where you developed Python scripts for power systems or engineering domains. Highlight any experience with load flow simulations, error handling, and documentation, as these are key aspects of the job.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail, especially regarding Python libraries for text parsing and file handling. You may also be asked about your understanding of node-breaker vs. bus-branch topologies, so brush up on these concepts before applying.
How to prepare for a job interview at Smartedge Solutions
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python, especially in the context of power systems automation. Highlight specific projects where you've developed scripts for parsing data or automating simulations, as this will demonstrate your technical expertise.
✨Understand Power System Concepts
Familiarise yourself with key concepts such as node-breaker vs. bus-branch topologies and the structures of PSS/E .raw files. Being able to explain these concepts clearly will show that you have a solid understanding of the domain.
✨Prepare for Technical Questions
Expect questions related to load flow simulations, error handling, and data mapping. Practise explaining your thought process when troubleshooting issues in model-based simulations, as this will reflect your problem-solving abilities.
✨Communicate Clearly
Good documentation and communication skills are essential for this role. Be ready to discuss how you approach report writing and stakeholder engagement, as well as how you ensure your code is well-documented and easy to understand.
